【发布时间】：2018-05-30 02:44:35
【问题描述】：
对于我的大学论文，我需要一个可以实时检测和识别人脸的安卓程序。我已经阅读了“android-vision”库并测试了示例代码。
修改代码：
package com.google.android.gms.samples.vision.face.facetracker;
import android.content.Context;
import android.graphics.Bitmap;
import android.graphics.Canvas;
import android.graphics.Color;
import android.graphics.Paint;
import android.os.AsyncTask;
import android.os.Environment;
import android.util.Log;
import android.widget.Toast;
import com.google.android.gms.samples.vision.face.facetracker.ui.camera.GraphicOverlay;
import com.google.android.gms.vision.face.Face;
import java.io.ByteArrayOutputStream;
import java.io.DataInputStream;
import java.io.DataOutputStream;
import java.io.File;
import java.io.FileInputStream;
import java.io.FileOutputStream;
import java.net.Socket;
import java.text.SimpleDateFormat;
import java.util.Date;
/**
* Graphic instance for rendering face position, orientation, and landmarks within an associated
* graphic overlay view.
*/
class FaceGraphic extends GraphicOverlay.Graphic
{
private static final float FACE_POSITION_RADIUS = 10.0f;
private static final float ID_TEXT_SIZE = 40.0f;
private static final float ID_Y_OFFSET = 50.0f;
private static final float ID_X_OFFSET = -50.0f;
private static final float BOX_STROKE_WIDTH = 5.0f;
public Canvas canvas1;
public Face face;
int i =0;
int flag = 0;
private static final int COLOR_CHOICES[] = {
Color.BLUE,
Color.CYAN,
Color.GREEN,
Color.MAGENTA,
Color.RED,
Color.WHITE,
Color.YELLOW
};
private static int mCurrentColorIndex = 0;
private Paint mFacePositionPaint;
private Paint mIdPaint;
private Paint mBoxPaint;
private volatile Face mFace;
private int mFaceId;
private float mFaceHappiness;
public Bitmap myBitmap ;
FaceGraphic(GraphicOverlay overlay)
{
super(overlay);
mCurrentColorIndex = (mCurrentColorIndex + 1) % COLOR_CHOICES.length;
final int selectedColor = COLOR_CHOICES[mCurrentColorIndex];
mFacePositionPaint = new Paint();
mFacePositionPaint.setColor(selectedColor);
mIdPaint = new Paint();
mIdPaint.setColor(selectedColor);
mIdPaint.setTextSize(ID_TEXT_SIZE);
mBoxPaint = new Paint();
mBoxPaint.setColor(selectedColor);
mBoxPaint.setStyle(Paint.Style.STROKE);
mBoxPaint.setStrokeWidth(BOX_STROKE_WIDTH);
}
void setId(int id)
{
mFaceId = id;
flag = 1;
}
/**
* Updates the face instance from the detection of the most recent frame. Invalidates the
* relevant portions of the overlay to trigger a redraw.
*/
void updateFace(Face face)
{
mFace = face;
postInvalidate();
}
/**
* Draws the face annotations for position on the supplied canvas.
*/
@Override
public void draw(Canvas canvas)
{
face = mFace;
if (face == null)
{
return;
}
// Draws a circle at the position of the detected face, with the face's track id below.
float x = translateX(face.getPosition().x + face.getWidth() / 2);
float y = translateY(face.getPosition().y + face.getHeight() / 2);
// canvas.drawCircle(x, y, FACE_POSITION_RADIUS, mFacePositionPaint);
canvas.drawText("id: " + mFaceId, x + ID_X_OFFSET, y + ID_Y_OFFSET, mIdPaint);
// canvas.drawText("happiness: " + String.format("%.2f", face.getIsSmilingProbability()), x - ID_X_OFFSET, y - ID_Y_OFFSET, mIdPaint);
// canvas.drawText("right eye: " + String.format("%.2f", face.getIsRightEyeOpenProbability()), x + ID_X_OFFSET * 2, y + ID_Y_OFFSET * 2, mIdPaint);
// canvas.drawText("left eye: " + String.format("%.2f", face.getIsLeftEyeOpenProbability()), x - ID_X_OFFSET*2, y - ID_Y_OFFSET*2, mIdPaint);
// Draws a bounding box around the face.
float xOffset = scaleX(face.getWidth() / 2.0f);
float yOffset = scaleY(face.getHeight() / 2.0f);
float left = x - xOffset;
float top = y - yOffset;
float right = x + xOffset;
float bottom = y + yOffset;
canvas.drawRect(left, top, right, bottom, mBoxPaint);
Log.d("MyTag", "hello "+i);
i++;
if (flag == 1)
{
flag = 0;
canvas1=canvas;
// send face image to server for recognition
new MyAsyncTask().execute("ppppp");
}
}
class MyAsyncTask extends AsyncTask<String, Void, String>
{
private Context context;
public MyAsyncTask()
{
// TODO Auto-generated constructor stub
//context = applicationContext;
}
protected String doInBackground(String... params)
{
try
{
Log.d("MyTag", "face.getWidth() "+face.getWidth());
Bitmap temp_bitmap = Bitmap.createBitmap((int)face.getWidth(), (int)face.getHeight(), Bitmap.Config.RGB_565);
canvas1.setBitmap(temp_bitmap);
}
catch (Exception e)
{
Log.e("MyTag", "I got an error", e);
e.printStackTrace();
}
Log.d("MyTag", "doInBackground");
return null;
}
protected void onPostExecute(String result) {
Log.d("MyTag", "onPostExecute " + result);
// tv2.setText(s);
}
}
}
它给了我这个错误：
12-16 03:08:00.310 22926-23044/com.google.android.gms.samples.vision.face.facetracker E/MyTag: I got an error
java.lang.UnsupportedOperationException
at android.view.HardwareCanvas.setBitmap(HardwareCanvas.java:39)
at com.google.android.gms.samples.vision.face.facetracker.FaceGraphic$MyAsyncTask.doInBackground(FaceGraphic.java:175)
at com.google.android.gms.samples.vision.face.facetracker.FaceGraphic$MyAsyncTask.doInBackground(FaceGraphic.java:158)
此代码可以实时检测人脸。对于识别部分，我打算使用'JavaCV'https://github.com/bytedeco/javacv。如果我可以在位图中捕获脸部，那么我可以将它保存在 .jpg 图像中，然后我就可以识别它。您能否给我一些建议，如何保存检测到的人脸。谢谢你。
【问题讨论】：
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我有你的问题。你找到解决办法了吗？？
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没有。我正在寻找答案。
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你找到答案了吗？
标签： java android android-vision